Evidence map›Paper›PMID 39576047›Full record

ArticleJournal of veterinary internal medicine

Salivary peptidomic profiling of chronic gingivostomatitis in cats by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry and nanoscale liquid chromatography-tandem mass spectrometry.

Sekkarin Ploypetch, Apisit Pornthummawat, Sittiruk Roytrakul, Janthima Jaresitthikunchai, Narumon Phaonakrop, Sabrina Wahyu Wardhani, Sitthichok Lacharoje, Somporn Techangamsuwan

Abstract read
In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sekkarin PloypetchDepartment of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand.ORCID https://orcid.org/0000-0003-4985-2565
Apisit PornthummawatDepartment of Pre-Clinic and Applied Animal Science, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand.
Sittiruk RoytrakulFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand.
Janthima JaresitthikunchaiFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand.
Narumon PhaonakropFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand.
Sabrina Wahyu WardhaniDepartment of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Sitthichok LacharojeDepartment of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Somporn TechangamsuwanDepartment of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-4888-2677

Funding

Mahidol UniversityOffice of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation (OPS MHESI), Thailand Science Research and Innovation (TSRI) RGNS 65-154
6 · The paper itself

Abstract

backgroundChronic gingivostomatitis in cats (FCGS) is a moderately to severely painful condition, potentially caused by inadequate immune response to oral antigenic stimulation. Salivary peptidome analysis can identify inflammatory protein mediators and pathways involved in oral mucosal immune activation and may indicate potential therapeutic options for FCGS.

objectiveEvaluate the diversity and abundance of salivary peptides in cats with FCGS using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) and nanoscale liquid chromatography-tandem mass spectrometry (nano LC-MS/MS). ANIMALS: Thirty-two cats with FCGS and 18 healthy controls.

methodsCase-control cross-sectional study. We compared the salivary peptide profiles of diseased and healthy cats. The diagnosis of FCGS was confirmed by histopathology. Saliva samples were analyzed for viral infections using polymerase chain reaction (PCR), peptide mass fingerprint (PMF) using MALDI-TOF MS, and peptide identification using nano LC-MS/MS.

resultsDistinct clusters of peptide profiles were observed between groups. In FCGS, 26 salivary peptides were altered, including apolipoprotein A1, nuclear receptor subfamily 1 group I member 3, fibrinogen alpha chain, interleukin 2 receptor gamma, interleukin 23 receptor, hemoglobin subunit alpha, and serpin peptidase inhibitor clade A (alpha-1 antiproteinase, antitrypsin) member 12, protein-tyrosine-phosphatase, and cholinergic receptor nicotinic alpha 10 subunit. Protein-anti-inflammatory drug interaction networks were observed. CONCLUSIONS AND CLINICAL IMPORTANCE: Peptide mass fingerprint and peptide profiles identified distinct clusters between FCGS and healthy cats. The 9 novel salivary peptide markers were associated with the JAK/STAT and PI3K/Akt pathways and immune responses. These potentially noninvasive biomarkers may facilitate understanding of FCGS pathophysiology and guide future therapeutic research.

Indexed as

Cat DiseasesSalivaSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTandem Mass SpectrometryAnimalsCase-Control StudiesCatsChromatography, LiquidChronic DiseaseCross-Sectional StudiesFemaleGingivitisMaleSalivary Proteins and PeptidesStomatitisSalivary Proteins and Peptidescatschronic gingivostomatitispeptide biomarkerspeptidomesaliva

Identifiers

PMID39576047
PMCPMC11627522

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.